Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
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500 AI Machine learning Deep learning Computer vision NLP Projects with code
- awesome
- machine-learning
- deep-learning
- machine-learning-projects
TranslatedLatest summary for 2025: technical interview questions from Alibaba, Tencent, Baidu, Meituan, Toutiao and others, along with answers and a compilation of analysis from expert question-setters.
What the f*ck Python? 😱
- python
- wats
- snippets
- wtf
Translated[Java Interviews + Java Study Guide] A collection of the core knowledge that most Java programmers need to master.
Translated🌍 Algorithm training for beginners | Includes four parts: ①. Interview experiences from major tech companies ②. LeetCode illustrated solutions ③. 1,000 open-source e-books ④. 100 technical mind maps (the project took hundreds of hours; I hope you can give it a star to support it, 🌹thanks~) Recommended free ChatGPT websites
- algorithms
- interview-questions
- dynamic-programming
- leetcode
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
- cto
- software-engineering
- management
- architecture
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
- cpp
- algorithm
- algorithms-implemented
- data-structures
Lists of company wise questions. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of 20 Oct, 2025
- google-interview
- interview
- online-assessment
- meta-interview
Translated🥇Juejin Translation Project (掘金翻译计划, Gold Miner), possibly the largest and best English-to-Chinese technical translation community in the world, the translation platform that best understands readers and translators:
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
- algorithm
- algorithm-challenges
- data-structures
- cryptography
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
Translated✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode solutions
- leetcode
- golang
- go
- leetcode-golang
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
- python
- algorithm
- data-structure
- development
TranslatedFrontend Close Reading Weekly. Helps you understand the most cutting-edge and practical technologies.
Roadmap to becoming an Artificial Intelligence Expert in 2022
- deep-learning
- artificial-intelligence
- roadmap
- ai-roadmap
A list of AI autonomous agents
- agent
- ai
- artificial-intelligence
- autogpt
A collection of tips to help take your CSS skills pro. 🕹
- css
- css3
- css-tricks
- awesome-list
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A simple guide to HTML <head> elements
- html5
- head
- meta-tags
- reference
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
- hacking
- penetration-testing
- hacking-series
- cybersecurity
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"